The random-fu package

Random number generation based on modeling random
variables in two complementary ways: first, by the
parameters of standard mathematical distributions and,
second, by an abstract type (RVar) which can be
composed and manipulated monadically and sampled in
either monadic or "pure" styles.

The primary purpose of this library is to support
defining and sampling a wide variety of high quality
random variables. Quality is prioritized over speed,
but performance is an important goal too.

In my testing, I have found it capable of speed
comparable to other Haskell libraries, but still
a fair bit slower than straight C implementations of
the same algorithms.

Changes in 0.2.4.0: Added a Lift instance that resolves
a common overlapping-instance issue in user code.

Changes in 0.2.1.1: Changed some one-field data types
to newtypes, updated types for GHC 7.4's removal of Eq
and Show from the context of Num, and added RVarT versions
of random variables in Data.Random.List